Job Summary
As a Data Modeler, you will be responsible for designing, implementing, and optimizing data models that support the organization’s information management and business intelligence needs. You will play a key role in transforming data into meaningful insights by designing data models that ensure efficient storage, retrieval, and integrity of data across various platforms.

Key Responsibilities

·       Design and develop data models to support the organization’s data and business intelligence requirements.

·       Collaborate with data architects, data engineers, and stakeholders to ensure data model alignment with business requirements.

·       Optimize and tune data models for performance and scalability.

·       Ensure data accuracy, consistency, and integrity by implementing data quality and governance standards.

·       Participate in data migration and integration projects, ensuring seamless data flow across systems.

Qualifications

·       Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Skills

Technical Skills

·       Expertise in data modeling tools (e.g., ERwin, Power Designer, SQL Developer Data Modeler).

·       Proficiency in SQL and database management systems (e.g., Oracle, SQL Server, Snowflake).

·       Understanding of data warehousing and ETL processes.

·       Familiarity with data governance and data quality management tools and practices.

Soft Skills

·       Strong analytical and problem-solving skills.

·       Effective communication and collaboration skills.

·       Attention to detail and commitment to data accuracy.

Good to Have

·       Experience with cloud platforms (e.g., AWS, Azure, GCP).

·       Knowledge of big data technologies (e.g., Hadoop, Spark).

·       Exposure to machine learning and advanced analytics.

Work Experience

·       5+ years of experience in data modeling, data architecture, or related roles.

Compensation & Benefits

·       Competitive salary and annual performance-based bonuses

·       Comprehensive health and optional Parental insurance.

·       Retirement savings plans and tax savings plan.

Key Performance Indicator (KPIs)

·       Accuracy and Efficiency of Data Models.

·       Data Model Performance and Query Optimization.

·       Compliance with Data Governance Standards.

·       Time to Deliver Data Models for New Requirements.

·       Stakeholder Satisfaction and Collaboration Effectiveness.

Key Result Areas (KRAs):

·       Data Model Design: Develop accurate and efficient data models that support business processes.

·       Data Quality: Ensure data models meet high standards for data accuracy and quality.

·       Collaboration: Work effectively with cross-functional teams to gather requirements and deliver solutions.

·       Performance Optimization: Continuously improve data model performance for faster data retrieval.

·       Documentation and Compliance: Maintain comprehensive documentation and adhere to data governance policies.

Contact: hr@bigtappanalytics.com